Cognitive architectures: Research issues and challenges
By Pat Langley, John Edwin Laird, Seth Rogers. Cognitive Systems Research, 2009
801 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/041326c202655cd60df276bf7a148f2ecddfc479
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Chuang Gan
- Yilun Du
- Josh Tenenbaum
- Tianmin Shu
- John Edwin Laird
- Seth D. Baum
- Qinhong Zhou
- Hongxin Zhang
Citations in the corpus
- The Effects of Idealized and Grounded Materials on Learning, Transfer, and Interest: An Organizing Framework for Categorizing External Knowledge Representations (2014, background): “Cognitive psychology research has long been interested in understanding the contents and structures of these representations (e.g., Anderson et al. 2004; Langley et al. 2009), and found that it is comprised of many components, such as both procedural and conceptual knowledge (e.”
- Building Cooperative Embodied Agents Modularly with Large Language Models (2023, methodology): “4.1 F RAMEWORK O VERVIEW Inspired by the cognitive architectures (Langley et al., 2009; Laird, 2019; 2022), we build CoELA , a Cooperative Embodied Language Agent with novel modular framework integrating the strong reasoning ability and language generation capability of LLMs.”
- Deep learning in robotics: a review of recent research (2017, background): “Thus, the current trajectory of advancement strongly suggests that control of robots is leading toward full cognitive architectures that divide coordination tasks in a manner increasingly analogous with the brain [68-70].”
- A Survey of Artificial General Intelligence Projects for Ethics, Risk, and Policy (2017, background): “There have been several prior surveys of R&D on AGI and related technologies (Chong et al. 2007; Duch et al. 2008; Langley et al. 2008; de Garis et al. 2010; Goertzel et al. 2010; Samsonovich 2010; Taatgen and Anderson 2010; Thórisson and Helgasson 2012; Dong and Franklin 2014; Goertzel 2014;…”
- A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics (2017, background): “Typical research efforts on cognitive architectures (Langley, Laird, and Rogers 2009) are concerned with much more than just the architectural level — and thus may be more appropriately thought of as developing more comprehensive cognitive systems — although none has yet spanned the entire…”